Project

Improving epideiological modelling using satellite derived soil moisture proxies

Duration
01 September 2012 → 31 March 2013
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Physical geography and environmental geoscience
    • Animal biology
  • Medical and health sciences
    • Public health care
    • Public health sciences
    • Public health services
  • Engineering and technology
    • Communications technology
    • Geomatic engineering
Keywords
soil moisture epidemiology machine learning culicoides remote sensing
 
Project description

The distribution of the bluetongue virus is related to the distribution of its main vector, Culicoides imicola. The occurrence of this is determined by several (a) biotical features, including soil moisture. The objective of this project is to improve absence-presence modelling of C. imicola by (1) the development of soil moisture from remote sensing and (2) the use of machine learning.